Exploring novel semi-inner product reproducing Kernels in Banach space for robust Kernel methods. [PDF]
Ding Y, Zhao Y, Pei Y.
europepmc +1 more source
A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis +7 more
wiley +1 more source
Mesoscopic Modeling of Fracture in Heterogeneous Bituminous Polymer Composites: Coupling Random Aggregate Distribution with Bilinear Cohesive Zone Models. [PDF]
Li W, Gao H, Xie L, Tan Z, Cao P.
europepmc +1 more source
ABSTRACT Handwritten Dongba Character Recognition (HDCR) contains a large number of visually similar characters with subtle and fragile edge cues, posing severe challenges to feature learning. To address this issue, an Edge Channel Aggregation Network (EdgeCANet) model is proposed.
Xiali Li +3 more
wiley +1 more source
Wave modelling of 3 + 1 dimensional Wazwaz Kaur Boussinesq equation with the bilinear neural network method. [PDF]
Shahen NHM +4 more
europepmc +1 more source
Task‐Aligned Haze Removal With Semantic‐Aware Fusion and Contrast Self‐Correction
ABSTRACT Adverse haze conditions introduce complex degradations that obscure scene details and distort structural cues critical for object detection, posing persistent challenges for vision‐based sensing systems. Although existing haze removal methods have achieved notable improvements in visual clarity, their optimisation objectives are often ...
Jinbin Wang +5 more
wiley +1 more source
Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy. [PDF]
Pflaum A +7 more
europepmc +1 more source
A Lightweight Hybrid Network for Medical Image Segmentation With Adaptive Feature Selection
ABSTRACT Accurate medical image segmentation with low model complexity remains difficult because lesions are often small in scale and boundary cues are easily corrupted by noise. Although recent segmentation methods have achieved strong performance, many of them rely on increasingly complex architectures with high computational costs, limiting their ...
Zhouwei Lin +7 more
wiley +1 more source
Data-driven acceleration of mixed-integer bilinear programs: a comparative study for robot motion planning. [PDF]
Lin X.
europepmc +1 more source
TMSA‐Net: Transformer‐Based Multi‐Scale Attention U‐Net for Flood Image Segmentation
ABSTRACT Flood detection is essential for real‐time applications, including disaster management, emergency response, and alerting people in flood zones. For successful flood detection, accurate flood region segmentation is essential. However, the flood region segmentation is challenging due to the complex background and occlusions with debris and the ...
Parham Imanzadeh Charandabi +3 more
wiley +1 more source

